We have updated our software for improved interpretability since this post was written. For the latest on this topic, read our new series on model-agnostic interpretability. Don`t jump into modelling. First, understand and explore your data! This is common advice for many data scientists. If your data set is messy,
Tag: data preperation
Understanding and interpreting your data set
Reusable data quality enables self-service data preparation
Jim Harris says more reusable data quality processes mean less reliance on IT and higher productivity across the board.